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Record W1966264244 · doi:10.1103/physrevb.78.193303

Abnormal charge injection behavior at metal-organic interfaces

2008· article· en· W1966264244 on OpenAlexaff
Zhecheng Wang, Michael G. Helander, Sai‐Wing Tsang, Zheng‐Hong Lu

Bibliographic record

VenuePhysical Review B · 2008
Typearticle
Languageen
FieldEngineering
TopicSemiconductor materials and devices
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsQuantum tunnellingMaterials scienceCharge (physics)MetalTrap (plumbing)Condensed matter physicsChemical physicsAtomic physicsPhysicsOptoelectronicsQuantum mechanics

Abstract

fetched live from OpenAlex

Charge injection physics at metal-organic interfaces with barrier heights of 0.6--1.5 eV has been systematically studied. It is discovered that for sufficiently high barriers the injection current becomes temperature independent. The phenomenon contradicts the orthodox charge injection theory that predicts a simple exponential temperature dependence of charge injection. To explain the observed experimental results, tunneling injection via interfacial traps is proposed. The relative impact of various parameters such as trap density, energy level, and energy disorder is studied. The theoretical calculations indicate that interfacial deep traps, even of trivial amount, will have a huge impact on charge injection at various temperatures. Therefore trap states at the interface should be considered whenever barrier height is to be extracted from $I\text{\ensuremath{-}}V$ curves at various temperatures.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.262
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations20
Published2008
Admission routes1
Has abstractyes

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